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By Jen Mills

If you found this article via a search engine, it was probably Google.

In the UK, 90% of general search queries use the search engine, and more than 200,000 businesses rely on its advertising.

Now, the UK competition’s regulator has given an update in their investigation into whether Google has too much power, saying it is a ‘key gateway to the internet’ and may need to loosen its control.

The Competition and Markets Authority (CMA) said today that it is minded to give the tech firm ‘strategic market status’, after starting to look into this in January.

This would require Google to follow certain rules around competition with other search engines and ad providers.

What could change for Google users?

At the moment, Google is the default search engine for Apple and Samsung phones in the UK after making deals with their makers, but in future this may have to change.

Users could be given a ‘choice screen’ to pick between search engines, in case they want DuckDuckGo, Bing, Ecosia, or something else instead.

A close up shot of a person using the google pixel phone in a canid scene against a clean background.
Google is the go-to for most of us, and that creates some complications (Picture: Getty)

It could be forced to introduce new ‘fair ranking’ measures for its search results, and avoid giving its own products preferential billing (such as YouTube or Google Maps).Advertising costs might indirectly become lower: the government-funded watchdog said that the amount spent by UK business entities for search advertising was equivalent to over £33,000 per advertiser and ‘if competition was working well, we would expect these costs to be lower.’

News publishers might get more control over how their content appears in search results and AI summaries, such as potentially more credit and direct links, as well as more extensive previews.

It might also become easier to port search data to another provider. The CMA said: ‘Innovative businesses struggle to compete as people can’t easily share their search data with firms developing innovative new services which could benefit them.’

Is this just in the UK?

The particular investigation by the CMA is, but there have been similar actions in other jurisdictions too.

In the US, Google may be forced to sell off part of its ad business after it was found to be too dominant, violating antitrust law.

Assistant Attorney General Abigail Slater said: ‘The Court’s ruling is clear: Google is a monopolist and has abused its monopoly power.

‘Google’s unlawful dominance allows them to censor and even deplatform American voices. And at the same time, Google destroyed and hid information that exposed its illegal conduct. Today’s opinion confirms Google’s controlling hand over online advertising and, increasingly, the internet itself.’

LONDON, UNITED KINGDOM - 2025/04/17: General view of the Google headquarters in King's Cross as the tech giant faces a 5 billion pound lawsuit in the UK for allegedly abusing its online search dominance. (Photo by Vuk Valcic/SOPA Images/LightRocket via Getty Images)
Google’s headquarters in King’s Cross (Picture: Getty)

The EU has also taken action to regulate Google under competition law.

Henna Virkkunen, Executive Vice-President for Tech Sovereignty, Security and Democracy, said: ‘Online search engines are the door through which users discover and find information, products and services.

‘Our initial view is that Alphabet, in the ranking of Google Search results, gives more prominence and treats its services, like shopping or travel, more favourably than similar services of third parties.

‘We also initially found that Alphabet was not enabling free offers and choice for developers and users on its Google Play app store, even though it is required to do so under the Digital Markets Act.

‘Both practices negatively impact many European and non-European businesses that rely on Google Search or Google Play to reach their users in the EU.’

What next for UK users?

Sarah Cardell, chief executive of the CMA, said: ‘Google search has delivered tremendous benefits – but our investigation so far suggests there are ways to make these markets more open, competitive and innovative.

‘Today marks an important milestone in our implementation of the new Digital Markets Competition Regime in the UK.

‘Alongside our proposed designation of Google’s search activities, we have set out a roadmap of possible future action to improve outcomes for people and businesses in the UK.

‘These targeted and proportionate actions would give UK businesses and consumers more choice and control over how they interact with Google’s search services – as well as unlocking greater opportunities for innovation across the UK tech sector and broader economy.’

A final decision on giving Google strategic market status in the UK is due to be made by October following a consultation process.

Google responded

In a blog post today, Oliver Bethell, then company’s senior director of competition, said: ‘The outcome could have significant implications for businesses and consumers in the UK.

‘The positive impact of Google Search on the UK is undeniable. Our tools and services contribute billions of pounds a year to the UK — £118 billion in 2023 alone.

‘The CMA has today reiterated that ‘strategic market status’ does not imply that anti-competitive behaviour has taken place — yet this announcement presents clear challenges to critical areas of our business in the UK. We’re concerned that the scope of the CMA’s considerations remains broad and unfocused, with a range of interventions being considered before any evidence has been provided.

‘Delivering certainty matters to businesses like ours that relentlessly invest in innovation. It also matters to every UK business that benefits from services like Search to reach customers — and to every user that relies on Search to get things done.

‘The UK has historically benefitted from early access to our latest innovations, but punitive regulations could change that. Proportionate, evidence-based regulation will be essential to preventing the CMA’s roadmap from becoming a roadblock to growth in the UK.

‘As we move into the next phase of this process, we will continue working constructively with the CMA to avoid measures that would limit opportunities for UK businesses and consumers.’

Feature Image Credit: Getty

By Jen Mills

Sourced from METRO

By Pawel Rzeszucinski,

For the better part of two decades, online search was synonymous with Google. Businesses fine-tuned their digital presence for keywords, meta tags and backlink strategies, all with one goal: Land on page one of the search results. But the landscape has changed. We’re entering a new era, one where the question is no longer who ranks first but who gets cited by the AI.

The arrival of large language models (LLMs) like ChatGPT, Gemini and Claude has introduced a fundamentally different way to retrieve information. These tools do not point users to a list of links. Instead, they deliver direct, synthesized responses, drawing from vast corpora of public content. And they are beginning to reshape the expectations of how people search altogether.

From Search Results To Synthesized Answers

The shift may feel subtle at first, but the implications are significant. Users no longer have to skim through a dozen articles to piece together an answer. Instead, AI models offer the summary upfront. This isn’t just more convenient; it’s structurally different. It bypasses the traditional web entirely.

We’re seeing this play out even within Google’s own ecosystem. With the rollout of its AI Overviews (formerly Search Generative Experience), Google has begun integrating AI-powered summaries at the top of many results pages. The outcome? A recent analysis found that when these AI summaries are present, traditional organic click-through rates can drop by as much as 70%. Even paid ads take a hit. What we’re witnessing is not a slight dip in traffic; it’s a reallocation of user attention away from web pages and toward machine-generated summaries.

At the same time, standalone AI assistants are gaining traction. ChatGPT now ranks among the most visited websites globally, with hundreds of millions of monthly users. It has also become a starting point for research, brainstorming and decision making tasks once firmly in Google’s territory. Even smaller players like Perplexity are gaining momentum, offering a hybrid search-chat experience that combines AI answers with cited sources—an early glimpse into what next-gen search may look like.

What This Means For Your Business

If your company’s discoverability strategy still relies heavily on traditional SEO techniques, it’s time to recalibrate. The notion of “ranking” is being replaced by something more ephemeral: being included, referenced or cited by an AI system that synthesizes answers in real time.

This new landscape rewards clarity, trust and technical readiness over clever keyword placement. It values the ability to be understood by machines just as much as being read by humans. And it places a premium on domain authority, not in the SEO sense, but in the broader sense of being seen as a reliable, high-quality source of truth.

Here is what digital marketing teams should be doing right now:

1. Write for answers, not just algorithms. Content must be structured in ways that make it easy to extract and reuse. That means addressing questions clearly, using plain language and front-loading the value. Think in terms of what an LLM might quote or paraphrase when constructing a response. Analyse how people phrase their interactions with LLMs and adjust your content to fit this design pattern.

2. Demonstrate authority through quality. AI models tend to draw from reputable, high-quality sources. This includes industry publications, well-maintained blogs, peer-reviewed research and sites with a history of accurate information. Superficial content created purely for traffic will struggle to earn citations. Instead, focus on depth, originality and trust signals like author bios, clear sourcing and consistent topical expertise.

3. Invest in structured data. Schema markup and structured metadata can help machines understand your content more effectively. It is not glamorous work, but it is essential if you want to be eligible for rich results, snippets or inclusion in AI-generated overviews. Especially for product, event or FAQ content, proper tagging increases the odds that your site is seen as “machine-readable.”

4. Go beyond Google. Traffic diversification is no longer a luxury but rather a necessity. Web crawlers that feed LLMs are increasingly pulling from non-traditional platforms to find fresh, credible content. Forums like Reddit, niche communities, technical Q&A sites and public newsletters are becoming valuable sources for both real-time conversations and training data. These platforms signal human engagement and topical relevance—two things that LLMs often prioritize when generating responses.

The Strategic Imperative

This is not just a shift in how people search. It’s a shift in who controls the gateway to information—and how your company earns a spot in that conversation. Google may still dominate the market by volume, but AI tools are reshaping the experience of search. And user habits are changing faster than most brands are reacting. Traditional SEO isn’t going away. But it is becoming only one piece of a much more complex discoverability puzzle. Being “AI-visible” is the next frontier.

Feature Image Credit: Getty

By Pawel Rzeszucinski,

COUNCIL POST | Membership (fee-based)

Pawel Rzeszucinski is Senior Director of Data and AI at Webpros. Read Pawel Rzeszucinski’s full executive profile here. Find Pawel Rzeszucinski on LinkedIn and X. Visit Pawel’s website.

Sourced from Forbes

By Jonathan Schwartz

Artificial intelligence is rewriting the rules of search. As Google continues integrating AI-driven elements, search engine results pages (SERPs) are becoming increasingly dynamic and unpredictable. This raises the stakes for businesses relying on SEO for lead generation and brand building.

Enter SERP features—built-in shortcuts for visibility on Google. Featured snippets and AI overviews now dominate prime search real estate. With less than 2% of first-page results lacking SERP features, businesses must learn how to adapt or risk fading into the background.

Understanding The Different Types Of SERP Features

Google’s SERP features have come a long way since the early 2000s. While some, like featured snippets, have been around since 2014, others—like AI overviews—were only added in 2024.

These elements enhance the search experience by delivering quick answers, interactive content and visuals. They’re continually evolving to keep users engaged.

Here’s a look at some of the most prominent SERP features:

• Featured snippets are highlighted answer boxes at the top of search results that provide brief, structured responses to user queries. They appear in paragraph, list and table formats and boast a 42.9% average click-through rate, making them highly coveted.

• AI overviews use machine learning to summarize data from various sources and present it at the top of SERPs. Google began rolling out AI overviews in U.S. search results in May 2024. By April 2025, top-ranking pages had a 34.5% lower average CTR in searches where AI overviews were present.

• Knowledge graphs are right-side information panels that offer key details on people, places and businesses. They’re less about CTR and more about credibility. Up-to-date business listings, Wikipedia pages and authoritative links help strengthen brand presence.

• Local packs, also called map packs, display a map and a list of nearby businesses related to user search queries. Maintaining accurate Google Business Profiles (previously Google My Business), using location-based keywords and earning positive reviews improve visibility.

• The “people also ask” feature is a dropdown of related questions that expand within SERPs. Answering popular questions with structured content increases placement chances.

• Image packs and video carousels are visual content that break up text-based elements on results pages. Optimizing images with descriptive alt text and creating high-quality videos answering queries helps rankings.

How Do SERP Features Impact SEO Rankings?

Why is it important to optimize for SERP features? They directly influence SEO performance in a few key ways:

Maximizing Search Presence

Ever hear the adage “It’s all about location?” Many SERP features show up above “classic” organic listings in the search results. If you’re not featured, a competitor likely is. Elements like featured snippets and AI overviews occupy “position zero,” immediately capturing user attention at the top of the page. This prime placement makes SERP features a crucial tool for businesses looking to stand out.

Appearing in SERP features, along with your organic listing, also enables you to take up as much real estate on the page as possible.

Boosting CTR And Engagement

The higher up the page you are, the more clicks and engagement you’ll likely receive. SERP features take up prime real estate, drawing attention and clicks. Features like video carousels and image packs are particularly engaging, making them valuable for capturing user interest in crowded niches.

How Can Businesses Optimize For SERP Features?

At a time when moving up a single position in the SERPs increases relative CTR by 32.3%, the question isn’t whether you should leverage SERP features—it’s how you can use them to your advantage. The following tactics can help you do just that.

Strategically Structure Your Content

To rank in SERP features, make sure your website content is clear and informative, and that it directly answers user queries. Providing concise responses to who, what, when, where, why and how questions improves the likelihood of appearing in featured snippets and the knowledge graph. Likewise, using bullet points, tables and structured formatting enhances readability and ranking potential.

Capitalize On Schema Markup

Schema markup helps Google understand content, increasing the chances of appearing in SERP features. This is especially true for businesses with physical locations, as local schema markup improves visibility in the local pack.

Target Long-Tail Keywords

Focusing on specific, highly relevant queries coordinates content with user intent, boosting the probability of capturing high-value SERP placements.

Prioritize On-Page SEO And Content Strategy

Aligning content with search intent boosts your chances of showing up in SERP features. Use clear headings, bullet points and concise meta descriptions.

Invest In Imagery

Image packs appear in over half of search results, making visual content like infographics and charts incredibly valuable for rankings.

Emphasize Mobile Optimization

Many SERP features, including the local pack, are frequently viewed on mobile devices. Mobile-friendly sites help capture local search traffic.

Update Content Frequently

Google favours fresh content in features like the knowledge graph and “people also ask.” Regular updates improve your relevance and increase your chances of ranking in dynamic search results.

Secure Your Spot In SERP Features

As AI continues to reshape search, rankings are more unpredictable than ever. SERP features offer a critical advantage, helping businesses remain visible and easily discoverable. Make sure you understand and optimize for these elements to stay ahead in 2025 and beyond.

Feature Image Credit: Getty Images

By Jonathan Schwartz

COUNCIL POST | Membership (fee-based)

Jonathan Schwartz, CEO and Co-Founder of Bullseye Strategy. Read Jonathan Schwartz’ full executive profile here. Find Jonathan Schwartz on LinkedIn and X. Visit Jonathan’s website.

Sourced from Forbes

Turn out the lights, the internet is over

Google AI Overviews and other AI search services appear to be starving the hand that fed them.

Google’s AI-generated summaries of web pages, officially released in May 2024, show up atop its search results pages so search users don’t have to click through to the source website.

A year later, enterprise AI analytics biz BrightEdge reported that Google AI Overviews had generated more search impressions (up 49 percent), but click-throughs to the actual websites dropped 30 percent.

That means AI Overviews is leading more people to use Google Search to find answers to their queries. But those people are less likely to follow search results links that lead to the source website. Good for Google. Terrible for the ecosystem of websites that had learned to depend on search referrals for buyers, readers, and viewers.

Google AI Overviews and other AI search services appear to be starving the hand that fed them.

Google’s AI-generated summaries of web pages, officially released in May 2024, show up atop its search results pages so search users don’t have to click through to the source website.

A year later, enterprise AI analytics biz BrightEdge reported that Google AI Overviews had generated more search impressions (up 49 percent), but click-throughs to the actual websites dropped 30 percent.

That means AI Overviews is leading more people to use Google Search to find answers to their queries. But those people are less likely to follow search results links that lead to the source website. Good for Google. Terrible for the ecosystem of websites that had learned to depend on search referrals for buyers, readers, and viewers.

Kevin Indig, who writes about search engine optimization (SEO), marked the one-year anniversary of AI Overviews with a usability study. Based on data from the 70 individuals surveyed, he observed that when AI Overviews are absent, “outbound click rates rise to an average of 28 percent on desktop and 38 percent on mobile.”

Ahrefs, an SEO site, in April said AI Overviews reduced clicks by about 35 percent.

Citing data provided by SimilarWeb (which SimilarWeb shared with El Reg, Barron’s last week reported that search referrals to top US travel and tourism have fallen 20 percent year on year, while news and media sites saw search-driven traffic drop by 17 percent during that period.

Other categories of website also showed declining search referral traffic: e-commerce (-9 percent); finance (-7 percent); food/drink (- 7 percent); and lifestyle/fashion (-5 percent).

Meanwhile, AI search engine referrals have replaced only about 10 percent of traditional search referral traffic, according to SimilarWeb.

Sourced from The Register

By Oleg Levitas

After nearly two decades helping local businesses improve their SEO, I’ve seen the same pattern repeat: Companies invest in service pages, blog content and social updates—but without a strong local SEO strategy, their rankings plateau, leads slow down, and local visibility falls short.

In 2025, generic service pages and scattered blog posts likely won’t go far in local SEO. Search engines prioritize organized content, topical depth and clear relevance. They need to see what you offer, where, and how your pages connect.

That’s what a local content cluster strategy is designed to solve. It can bring your content into focus, strengthen your authority, and help your business show up in the searches that lead to real customers.

Understanding Local Content Cluster

The local content cluster strategy is a smart, strategic way to structure your website—one that mirrors how people search and how search engines understand relevance. Instead of treating every page separately, you build around a central topic—usually a core service. A pillar page provides an overview, with supporting pages covering related details and search-driven questions.

Next, you add location pages SEO-optimized for each town or neighbourhood you serve. These should go beyond changing city names, reflecting local context and terminology that will help users and search engines trust you.

Why does this structure work? In my experience, there are three main reasons:

• It helps users get answers faster, without jumping between disconnected pages.

• It signals depth and topical authority SEO to search engines.

• It strengthens internal linking, improving flow and visibility across your site.

With this strategy, you’re no longer chasing broad terms like “garage door repair near me.” Now, you rank for high-intent searches like “garage door sensor replacement in Marshfield MA” or “opener spring cost in Plymouth”—the searches that convert.

How To Build A Local Content Cluster Strategy That Ranks

If you’ve already built out service pages and started covering local areas, you’re halfway there. But unless they’re built to work as a system, it’s less likely that they’ll earn rankings—or results. These three steps can help you take your setup to the next level.

1. Make sure everything aligns. Your website and Google Business Profile should tell the same story—same services, areas and details. If these are misaligned, it can weaken trust and give search engines less reason to rank you.

2. Write location pages that feel local. A big mistake I see many businesses make is copying one location page and swapping in different city names. To create location pages that are SEO-optimized to rank, each needs to reflect the area it targets. Mention real neighbourhoods, landmarks or local challenges—details that show you understand the place, not just the Zip code.

3. Use internal links to create flow. Strong internal linking ties your local content cluster together. Connect FAQs, service pages and location pages to your pillar page to guide users and give search engines the clarity to rank your site. And don’t forget schema markup—add it to your service and location pages to help search engines understand what you do and where.

A 90-Day Plan For Building Your Strategy

The good news is that you don’t need to implement your local content cluster strategy all at once. I’ve found that this 90-day rollout can allow companies to move in phases, building structure step by step.

Weeks 1-2: Planning And Keyword Research

• Identify your core services and the geographic areas you serve.

• Develop a keyword list based on search volume and buyer intent.

• Use a topic cluster SEO model to outline your content: one pillar page, supporting pages, and location pages SEO-targeted for nearby towns.

Weeks 3-5: Creating The Core Content

• Write your pillar page with comprehensive service coverage.

• Create three to six supporting pages that address detailed questions and subtopics.

• Focus on structure, problem-solving and user intent.

Weeks 6-8: Adding Local Context And Linking It Together

• Write location pages that reflect the cities you serve. Be specific.

• Reference landmarks, neighbourhoods or seasonal concerns that matter locally.

• Link these pages to your pillar page and supporting content. Smart internal linking helps reinforce your authority.

Weeks 9-12: Technical Optimization

• Improve your mobile usability and page speed.

• Fix broken links and tighten your internal linking structure.

• Monitor performance, and optimize pages that aren’t getting traction.

This approach isn’t aiming for quantity. You’re building a clear, connected strategy that will help your business stay visible long-term.

What Slows Down Local SEO (And How To Avoid It)

Even with the right structure in place, I often see local SEO strategies fall short because of the following execution gaps:

• Duplicate Or Thin Location Pages: If only the city name changes, Google may not index the pages. Include local context that matters—to users and Google.

• Keyword-Stuffing: Overusing phrases like “garage door repair Marshfield MA” makes content difficult to read and less credible.

• AI-Generated Content With No Editing: AI tools can help, but all content still needs human review and judgment. Quality matters.

• Poor Mobile Experience: If your site is hard to use on a phone, many people won’t stay—and search engines notice that.

SEO for local businesses typically works best when you stop gaming the system and deliver helpful, well-structured content that earns visibility. And the more relevant and useful your content is over time, the better future pages should start to perform.

The Local Visibility Strategy That Drives Results

In my experience, long-term success in local SEO doesn’t come from shortcuts. It comes from strategy—specifically, one that combines structure, clarity and intent. When done right, local content clusters for SEO can improve rankings, guide local traffic and give every page on your site a clear purpose, showing search engines what you offer and why customers should choose you.

Feature Image Credit: Getty

By Oleg Levitas

Oleg Levitas, a visionary SEO Expert, founded Pravda SEO to revolutionize how local businesses dominate search rankings. Read Oleg Levitas’ full executive profile here. Find Oleg Levitas on LinkedIn. Visit Oleg’s website.

Sourced from Forbes

By Andile Masuku

Earlier this month, I found myself picking at something that’s been nagging at me of late. So I did what any insight-seeking strategist does these days – I asked X: “Who else is currently pondering answer engine and AI agent optimisation?”

The response from Ross Simmonds, the founder of Canadian B2B marketing agency Foundation and author of Create Once, Distribute Forever: How Great Creators Spread Their Ideas and How You Can Too, was immediate: a wave emoji. What ensued was a conversation that crystallises something you might be sensing.

How we got here

For the past two decades, Google has essentially owned the internet’s front door. Here’s how their empire worked: you searched for something, Google showed you ten blue links surrounded by adverts. If you wanted your business to appear in those results, you played by Google’s rules – either through search engine optimisation (SEO), where you twisted your content to please Google’s algorithms, or through AdWords, where you paid to appear at the top.

This system shaped everything. Entire industries sprang up around gaming Google’s preferences. Content creators wrote for robots first, humans second. Marketing budgets poured into deciphering what Google wanted, then delivering it.

Now that’s changing. Instead of ten blue links, we’re getting direct answers from AI systems like ChatGPT, Google Gemini, Perplexity, and dozens of others, including newer open source entrants like DeepSeek. Ask “What’s the capital of Mali?” and these tools simply tell you “Bamako” rather than sending you to Wikipedia or trying to sell you a holiday package.

New game

But here’s where it gets interesting, and where my conversation with Simmonds began. These new “answer engines” (as the digital content and marketing industries are starting to dub them) face the same fundamental challenge Google did: how do you make money from giving people information?

During our brief X exchange, I found myself describing what feels wrong about some of these new systems: “Imagine asking a shop assistant a basic question and instead of just answering, they stall – fishing for your intent, upselling alternatives, or quietly collecting your data to monetise your attention.”

I get it, though. These companies have raised billions in funding. They’ve got cutting-edge infrastructure to pay for, staff to employ, shareholders to satisfy. The idealistic vision of “just answer the question” crashes into commercial reality pretty quickly.

Where it gets complicated

Simmonds reckons that there’s going to be a split: “Information retrieval vs emotional connection. Many will rely on the AI to simply get information (i.e. how long should I bake my lasagne) but they’ll rely on emotional channels (podcasts, reels, TikToks and YouTube) to understand ‘how to make lasagne like a grandma from Tuscany.'”

This feels profound. We may well be creating two internet economies: one for facts, handled by machines a la AI agents, and another for meaning, still very much human territory.

Pattern recognition

I’m struck by my own experience developing and executing content strategies and tactical media plays for leading global organisations. Working on community-building assignments and ecosystem engagement projects, the most successful approaches weren’t about gaming Google’s algorithm or buying more AdWords.

They were about genuinely useful answers to real stakeholder questions, particularly from founders and investors, delivered through compelling media and meaningful in-person engagement.

But even then, I noticed that over-reliance on advertising channels like AdWords felt precarious. Not just because I’ve always been uncomfortable with hard-selling and hijacking people’s attention, but because at some fundamental level, sustainable business happens between people who trust each other.

Commercial reality

Here’s what I think is happening with these new AI systems, and why it matters for anyone trying to reach customers online: the companies building them are facing the same pressure Google did to figure out monetisation.

Some are optimising for keeping you on their platform longer. Others are cutting deals with specific information providers. Many are collecting detailed data about what you’re asking to build advertising profiles.

We’re already seeing the early signs: Perplexity’s licensing deals with (mostly) Western publishers, WPP’s digital marketing partnership with Claude (Anthropic), query limits for free users on various platforms, ‘premium’ answer tiers, and experiments with sponsored responses that prioritise certain sources over others.

Ultimately, for them, it’s just business. And that means that these systems are developing their own biases and blind spots, just as Google’s did.

The human element

By the end of our brief exchange, Simmonds and I found ourselves aligned on something: “…the lasting moat exists for people,” he said. The technical systems will evolve to handle the mechanical aspects of information delivery, but human connection, cultural context, and authentic perspective remain irreplaceable.

It’s not about choosing sides between human and artificial intelligence. It’s about recognising that as these new systems reshape how information flows, the premium on genuine human insight – the kind that feels personally and culturally grounded – is only going to grow.

Google’s two-decade reign over internet search might be ending, but the real question isn’t who’s won. It’s what kind of information ecosystem we’re building next, and whether we can do better than the attention-hijacking game that got us here in the first place.

Feature Image Credit: Solen Feyissa/Unsplash

By Andile Masuku

Andile Masuku is Co-founder and Executive Producer at African Tech Roundup. Connect and engage with Andile on X (@MasukuAndile) and via LinkedIn.

Sourced from IOL

*** The views expressed here do not necessarily represent those of Independent Media or IOL.

Sourced from Forbes

AI is transforming nearly every aspect of public relations, from media monitoring and content creation to reputation management and crisis response. As this technology continues to evolve over time, so too will the tools, workflows and expectations that define success in the industry.

While some PR professionals embrace AI’s efficiency and speed, others are cautiously weighing its ethical and creative implications. To explore both the opportunities and challenges this tech presents, 17 Forbes Communications Council members explain how AI is impacting PR at their organizations and across the field.

1. Helps Extract Insights From Datasets

AI accelerates how comms teams extract insights from vast datasets—boosting speed, not always accuracy. Without human checks, small errors can go big. Always audit before anything goes public. – Marie O’Riordan, The Croí Initiative, including Croí Impact and Croí Capital

2. Supports, Not Replaces, Human Insight

While AI has made its mark in our industry, the heart of what we do—building trust, navigating nuance and creating compelling narratives—still relies on human insight. Technology can support work, but it can’t replace the creativity, judgment and empathy that define impactful public relations. – Johanna HerrmannMerck

3. Transforms Reactive Storytelling To Proactive Signal Detection

AI is transforming PR from reactive storytelling to proactive signal detection. Teams can now spot narrative shifts, media sentiment trends and emerging voices in real time with tools like Similarweb. This allows communicators to lead the conversation instead of chasing it. The result is PR that is more data-informed and agile, while still requiring sharp human oversight to preserve authenticity. – Yael KlassSimilarweb Ltd.

4. Speeds Up Media Monitoring

AI is speeding up media monitoring and sentiment analysis, giving teams real-time insight into how their brand is being perceived. This helps PR professionals react faster and with more precision, but it also raises the bar for staying ahead of issues before they escalate. – Cody GillundGrounded Growth Studio

5. Creates Faster Responses To Support The Human Side

I started in PR, and that mindset never left me. It’s a great addition that AI brings speed in evaluating, drafting responses and suggesting solutions to challenges, but PR is still about trust and instinct. The human side matters. AI can help guide the work, but it shouldn’t lead it. In a field built on relationships, it’s still about reading the moment and often following your instinct. – Rich BornsteinBornstein Media

 

6. Enables Real-Time Sentiment Analysis

AI is revolutionizing public relations by enabling real-time sentiment analysis and automated media monitoring. It helps companies respond faster to public opinion and proactively manage their reputation. This shift has made PR more data-driven, with a focus on timely, targeted communication. As a result, PR professionals can emphasize strategy and engagement over routine tasks. – Antony RobinsonNovalnet AG

7. Allows For Faster Crisis Management

AI is speeding up how companies monitor media and craft responses, turning what used to take hours into minutes. The upside is faster crisis management and real-time sentiment tracking. But it also risks tone-deaf automation. In PR, human judgment still matters—AI should support it, not replace it. – Maria AlonsoFortune 206

8. Fuels Media Illiteracy And Distrust

AI’s mass content output is fuelling media illiteracy and public distrust, blurring the line between fact and fabrication. PR must now lead with credibility and emotional intelligence. AI is a powerful tool—but just one in a broader arsenal that must include human judgment and ethical strategy. – Lyric Mandell, PhDMOXY Company

9. Can Refine Messaging

AI has become a powerful tool for PR professionals, making it easier to quickly rephrase, summarize and tighten messaging. Those who embrace it understand that it’s not about replacing creativity and individual ideas—instead, it’s about refining the language and speeding up the delivery. In fast-paced environments where time is limited, this kind of efficiency can be incredibly valuable. – Victoria ZelefskyAnne Arundel Economic Development Corp.

10. Demands Professionals Elevate Their Strategies

AI is forcing a critical reckoning in PR. While it offers tempting efficiencies in tasks like media monitoring and drafting basic content, AI can’t build trust, navigate complex ethical landscapes or truly understand human emotion. This shift demands that PR professionals elevate their strategy, crisis management skills and ability to forge human connections—the very things AI can’t replicate. – Patrick WardNanoGlobals

11. Brings Immediacy To Workflows

AI has brought a powerful immediacy to PR, making sentiment analysis, trend spotting and personalized outreach accessible in real-time. Yet, with all this amplified noise, the true craft of telling authentic, resonant stories has never mattered more. Data sharpens strategy, but human nuance and emotional insight still drive the deepest connections. – Joshua StrattonAgainst The Current

12. Rewrites Narrative Control

AI’s real disruption in PR isn’t just faster press releases—it’s how it quietly rewires narrative control. Brands are now training AI on their own voice and history, making it the ghost-writer of their reputation. That subtly shifts PR from persuasion to orchestration, where the machine becomes the curator of a brand’s ongoing myth. – Cade CollisterMetova

13. Democratizes Access To Information

AI has democratized access to information needed for sentiment and trends analysis, share of voice monitoring and rapid generation of first drafts. Ironically, this is making it harder for PR agencies and teams to “earn” attention for their companies. It’s no longer enough to be newsworthy, relevant and impactful to stand out. Stories have to be unique to break through the increased media noise. – Rekha ThomasPath Forward Marketing

14. Lets Teams Stay Ahead Of Reputation Issues

A major advantage of using AI in public relations is staying ahead of reputation issues. With constant sentiment tracking, AI picks up on both positive and negative trends early on. This gives PR teams a head start to respond quickly, handle potential problems before they grow and shape public perception more effectively. – Lauren ParrRepuGen

15. Highlights A Need To Ensure AI Governance

As AI transforms every layer of corporate communications from real-time sentiment detection to content creation and audience targeting, it becomes both a brand and reputation risk hiding in plain sight without strong governance. Boards must treat AI as both an asset and a risk, and ensure an effective AI governance framework and review process is in place for the enterprise and brands. – Toby WongToby Wong Consulting

16. Drives Anticipatory Storytelling

AI co-pilots now sweep crypto-social channels, threat feeds and code repositories every few seconds to spot breach chatter or hostile narratives long before they trend. They triage alerts, draft factual posts and model sentiment curves so communications teams can choose the perfect moment, medium and tone, resulting in a shift from frantic damage control to data-driven, anticipatory storytelling. – Jamie ElkalehBitget Wallet

17. Streamlines Real-Time Sentiment And Trend Tracking

AI is changing PR by making it easier to track what people are saying in real time. My team uses tools that flag sentiment shifts or trends before they blow up—super helpful for staying ahead. But what really makes the difference is the person managing the tool, making smart judgment calls and keeping me in the loop. Tech helps, but people drive the strategy. – Luciana CemerkaTP

Feature Image Credit: Antoni Shkraba Studio

Sourced from Forbes

 

Sourced from The Drum

From digital twins to virtual influencers, here’s how brands are testing synthetic media and where the ethical lines are being drawn in the era of AI-generated talent.

Virtual presenters, AI-generated spokespeople, hyper-realistic avatars that never break script. It sounds like science fiction, but in 2025, synthetic media has officially entered the marketing mainstream.

Brands aren’t just turning to video avatars for localization, they’re training custom AI agents to serve as virtual customer service reps, live content presenters and even shopping assistants. Powered by platforms such as Soul Machines, Meta AI Studio and Synthesia’s personalized video engine, these agents combine natural language, lifelike visuals and brand-trained tone to deliver always-on performance at scale.

Following Klarna’s test of an AI shopping assistant powered by OpenAI that does the equivalent work of 700 full-time agents, other brands have followed suit, putting synthetic talent to work in very different but equally strategic ways.

Unveiled at VivaTech 2025, L’Oréal announced an expanded collaboration with Nvidia to supercharge its AI ecosystem, spanning everything from 3D product rendering to the launch of Noli, a first-of-its-kind AI-powered beauty marketplace. Through Creaitech, L’Oréal is scaling its use of generative AI and digital twins to create hyper-personalized, on-brand content across e-commerce, social and influencer channels – streamlining production and boosting engagement.

Meanwhile, H&M is pioneering the use of AI-generated ‘model clones,’ creating digital versions of 30 real-life models for campaign and social use. Each clone is watermarked and fully licensed, demonstrating how brands can responsibly scale synthetic content while respecting talent rights.

Both brands signal a broader shift: AI avatars and agents are no longer novelty acts, they’re being built into the brand system itself, trained on tone of voice, product data and usage intent.

These are just a few examples of how brands are now deploying synthetic reps across their e-commerce ecosystems – not just to front explainer content, but to interact in real-time with shoppers, pulling from product data, historical interactions and brand voice guidelines.

Next steps for Drummies

The appeal is obvious: scale, speed and localization – all without hiring or rebooking talent. But the rise of synthetic humans also raises some big questions. Are consumers comfortable with AI clones fronting their favourite brands? Do they need to know when a presenter isn’t real? And what happens when these avatars become indistinguishable from real humans?

Increasingly, transparency is non-negotiable. Consumers want to know when content is synthetic and regulators are starting to weigh in. Some brands have learned this the hard way, facing backlash for failing to disclose AI-generated imagery in ad campaigns.

And the industry is moving past the ‘real-but-weird’ aesthetic. Brands are opting for avatars that are clearly synthetic yet emotionally engaging, avoiding uncanny valley territory and leaning into stylized, branded personas that are recognizably AI-powered – but unmistakably on-message.

For marketers, the benefits are clear. Synthetic talent offers speed and scale, allowing content to be updated instantly in any language, tone or format. In some cases, AI presenters are outperforming live talent on key metrics including attention and recall, particularly in explainer content or localized training material. And with production costs slashed, synthetic media can deliver serious savings, especially for brands creating content at volume.

But here’s the top tip for Drummies: don’t rush to replace your human talent just yet. Instead, use AI avatars to augment your strategy, testing them in lower-risk areas like onboarding, FAQs or internal comms. And above all, be transparent. If content is AI-generated, say so, because trust, once lost, is hard to regenerate.

Feature Image Credit: Fernand De Canne on Unsplash

Sourced from The Drum

By Christianna Silva

YouTube sparked a digital revolution, but what comes next in an age dominated by AI and short-form content?

Did you go to the zoo 20 years ago? Over 364 million people did.

On April 23, 2005, YouTube co-founder Jawed Karim stood in front of the elephants at the San Diego Zoo, recorded some light commentary, and posted it to YouTube. It was the first ever video uploaded to the platform. Originally conceived as a dating site, YouTube instead ushered in a new digital world: one of abundant content, influencers and creators, algorithmic obsession, the viral spread of disinformation, and a society increasingly shaped by metrics — likes, shares, and views.

Its impact is so vast that it’s difficult to measure. Last year alone, the video-sharing platform brought in $36.15 billion in ad revenue, according to Variety. At VidCon 2025, YouTube’s VP of Creator Products, Amjad Hanif, shared that roughly 20 million videos are uploaded to the platform every day.

YouTube wasn’t the first social media site. Platforms like GeoCities, Classmates.comSixDegrees.com, Friendster, and MySpace all predate it. But those sites functioned like static digital places for users to present personal information or to find people they already knew in real life. There was no algorithm, and certainly no “content” in the way we understand it today. YouTube, in its early days, was similar. Yet somehow it not only endured but flourished, shifted the fabric of our communication, and democratized the ability for documentary filmmakers, comedians, and artists to make their work. What was once a place designed for dating has become a mass of monetization and the home of the $250 billion creator economy.

How did we get here? And, 20 years later, what comes next?

The first creator economy

YouTube didn’t just host videos; it created the first true creator economy, giving rise to a generation of influencers who could actually make a living from their work. Yes, people were making videos before YouTube, but traditional media had high walls. Hollywood gatekeepers controlled who got to be seen, heard, and paid. YouTube blew that model wide open.

“The reason YouTube has outlasted almost every other platform, or stayed the distance, is that when it comes to longform video, it’s very simple — it’s not just a content platform, it’s a creator economy backbone,” Matt Navarra, a social media expert, told Mashable. “While other platforms were following trends, YouTube built infrastructure.”

Google acquired YouTube in 2006, and, once YouTube became part of the largest and most powerful search engine in the world, it had a pretty spectacular amount of resources, traffic, and money at its disposal — and it gave some of those resources, traffic, and money to its users.

In 2007, YouTube launched the YouTube Partner Program, introducing creator pay outs, which Mark Bergen, a journalist and author of Like, Comment, Subscribe: How YouTube Drives Google’s Dominance and Controls Our Culture, argues effectively invented the idea of the content creator as a profession. Users began relying on the platform to make an income, and that financial incentive made creators loyal; few were eager to abandon a platform that paid them, especially when rivals couldn’t offer the same. More than that, new creators began flooding the YouTube system, hoping to experience the same freedom and fame available to them only on the platform.

But long before the pay checks and polished production came the passion. Early creators like John and Hank Green weren’t chasing clout or a pay check — because neither really existed yet. “When we started, there was no way to make money and there was also no status tied to it,” Hank Green later recalled during VidCon 2025’s “YouTube Legends” panel. That was part of the appeal. “Nobody [was] getting paid well, but everybody’s together, loving it, and community, it turns out, is more important for happiness than money. I miss those days when I was making $20,000 a year with a bunch of nerds who didn’t expect that it would ever become a cultural force or phenomenon,” he said. “But I’m also very happy that there is an opportunity for really talented people who would never be able to have creative careers, to have those careers now.”

YouTube has “figured out the creator economy and has had a lock on that for nearly 20 years. FacebookTwitterTikTokSnapchat, everyone’s tried and failed to come anywhere close to that,” Bergen told Mashable. He said none of the other platforms “have built out just this size and scale of an actual digital economy and a workforce.”

Navarra pointed out that the early YouTubers — creators like John and Hank Green, Rhett & Link, Grace Helbig, and Tyler Oakley, many of whom were inducted into the inaugural VidCon Hall of Fame this year — didn’t only create content, but they built empires, aided by YouTube’s global reach and monetization tools. Navarra said it set the “gold standard” for creator sustainability.

 Videos don’t just trend, they rank — and that’s a superpower that no one else has quite matched in the same way.

– Mark Bergen, journalist and author

A big part of this success is due to discoverability, which didn’t happen independently.

“That’s a major reason why you have all these incentives for people to keep posting, to keep upping the production value, to keep trying to become an influencer and creator, because you can make a living or aspire to make a living. And you can’t discount the fact that it’s been part of Google,” Bergen said.

That integration gave YouTube a unique edge. As Navarra put it, “Videos don’t just trend, they rank — and that’s a superpower that no one else has quite matched in the same way.”

Of course, being the first had its drawbacks. YouTube had to confront the growing pains of content creation before anyone else, especially when it came to moderation. Its policies evolved over time, and other platforms often followed its lead, though not without controversy.

“YouTube has been the canary in the coal mine for content moderation at scale because it faced existential threats earlier than most platforms,” Navarra said. And it’s true. In the early days, YouTube focused on removing videos that violated its guidelines related to nudity, graphic violence, and hate speech. But as the platform matured, so did its approach. It had to make room for content with educational, documentary, or artistic value, and later, make calls on videos in the public interest, like campaign content from electoral candidates that violated its own policies.

“YouTube has become one of the most brand-safe video or social platforms, which is why advertisers still spend big there despite their size and complexity,” Navarra said, adding that while they “haven’t been without their failures,” they have still fared “better than most platforms across the longer time frame.”

What’s next? Short-form vs. long-form, AI, and TV

YouTube was a pioneer in online video, but it seemed caught off guard when TikTok made short-form vertical video the dominant format. TikTok entered the U.S. market in 2018, prompting YouTube to respond with Shorts in 2019. Instagram quickly followed with Reels in 2020.

YouTube Shorts now averages over 200 billion daily views, Hanif said during a YouTube Keynote at VidCon 2025, intended to celebrate its 20th anniversary. That’s a huge number, but it isn’t necessarily representative culturally. It’s more of a “functional tool that hasn’t found its soul or character or purpose as much as other platforms have in terms of short-form video,” Navarra said.

“It works on paper: the views are huge, the monetization has improved, but culturally, TikTok owns the vibe. The issue is more perception… YouTube’s DNA is in storytelling and depth… If YouTube can crack cultural relevance with Shorts and not just scale, then it becomes fairly unbeatable,” Navarra said.

And while plenty of people watch YouTube Shorts, viewers are leaning more towards long-form video on YouTube — and they’re watching it on their TVs.

“More and more when people say they’re watching TV, they’re watching YouTube,” Hanif said at VidCon.

Gwen Miller, the senior director of growth at Mythical Entertainment, noted during a VidCon panel that this trend bodes well for creators. Longer watch times on TVs mean viewers are more likely to sit through ads, which leads to greater earnings for creators.

Content isn’t the only thing changing on YouTube, and AI is quickly becoming a driving force behind where the platform is headed next.

“In terms of AI and YouTube’s future, if you look where YouTube is heading, AI is central,” Navarra said. “It’s not a gimmick but as a growth engine. The platform’s big advantage isn’t just the size and age, it’s the way it quietly builds the most advanced tools for creators anywhere else on the internet.”

And YouTube CEO Neal Mohan announced last week at the Cannes Lions 2025 Festival of Creativity that Veo 3, the latest model of Google DeepMind’s video generation model, which allows you to create AI-generated backgrounds and video clips, is coming to YouTube Shorts later this summer.

Autodubbing, an AI tool that allows creators to dub their videos in other languages, is currently available in nine languages and will soon be available in 20 languages, Hanif said. Kevin Allocca, YouTube’s global director of culture and trends, said at VidCon that 52 percent of 14 to 24-year-olds in the U.S. have watched content or creators that have been translated from another language. For instance, MrBeast dubs his videos in 16 different languages, including Japanese, French, Hindi, and Spanish, which have garnered him massive followings internationally.

The idea that AI is central to the future of creation isn’t something YouTube is alone in predicting. In 2023, Ollie Forsyth, the founder of New Economies, found that 33 percent of creators used AI. That number has jumped to 80 percent in 2025, in large part due to the importance of language dubbing. During Forsyth’s talk “Mapping the Modern Creator Economy: Trends, Tensions, and What Comes Next” at VidCon this year, he argued that every creator is going to have to be AI-focused because AI agents will be able to allow creators to be truly flexible and more efficient. It’ll help them free up the time they spend on admin, finances, brand partnerships, marketing, and more as startups use AI to solve these problems.

If history is any indication of the future, it might be more helpful to look at this from a different perspective — it isn’t necessarily guessing what the future of YouTube will look like, but more knowing that whatever future is chosen will be mirrored across every other social media platform.

 By Christianna Silva

Christianna Silva is a senior culture reporter covering social platforms and the creator economy, with a focus on the intersection of social media, politics, and the economic systems that govern us. Since joining Mashable in 2021, they have reported extensively on meme creatorscontent moderation, and the nature of online creation under capitalism.

Before joining Mashable, they worked as an editor at NPR and MTV News, a reporter at Teen Vogue and VICE News, and as a stablehand at a mini-horse farm. You can follow her on Bluesky @christiannaj.bsky.social and Instagram @christianna_j.

Sourced from Mashable

By Khamosh Pathak

AI audio podcasts, right in Google Search.

For Google, AI-generated podcasts are turning into quite a key feature. You can now generate a two-person AI podcast from a Deep Research report, or get a Daily Listen podcast that’s generated from your Discover feed. Now, Google is planning to expand this feature to Google Search as well.

 

Available as an experimental feature from Google Labs, this new option will help generate a short, 5-minute AI podcast based on your Google Search results.

Google Labs new features
Credit: Jake Peterson

 

To access the new feature, head over to your Google Labs page using this link and find the Audio Overviews section. There, you can either enable this feature or join a waitlist, depending on where you’re located. Unfortunately, while this is a global rollout, it’s not happening all at once, as is the case with many new Google AI features.

How Audio Overviews in Google Search work

This new search feature is lifted almost straight from Gemini, which itself got it from NotebookLM. Called Audio Overviews, the original incarnation of this feature let you generate a 10-minute AI podcast episode on any topic, although the new version has a few additional limitations.

When the feature is enabled in Google Search, you’ll see a little prompt to “Generate Audio Overview” while you scroll through compatible search results. Which results are compatible is a bit vague at this point—that’s one of the limitations. You won’t see it for simple questions like “what are some nearby cafés?” but it also won’t work for overly complex topics, like researching investment trends across Asia (where you might be better off using Deep Research tools).

Instead, Audio Overviews will kick in for queries that are somewhere in the middle. Let’s say you want a quick refresher on a Lord of the Rings character, or to know which Japanese knives to get started with when upgrading your kitchen. Just make an appropriate Google search, click the Generate Audio Overview button, and search will kick into Gemini mode. After a wait of about 30-40 seconds, which is considerably less than Gemini’s 2–5 minute wait time, you’ll see your audio overview. It will be about five minutes, tops, so you’ll get less detail than Gemini would give you, but it might be enough for a bird’s-eye view on whatever you’re searching for.

 

The audio player for your AI podcast will stay put as you browse the results page, and it will show links to its sources as well. And if it’s gotten something really wrong, you can give it a Thumbs Down. As is the case with any AI tool, it’s important to point out that these are based on Large Language Models, which can sometimes hallucinate. So make sure to check the sources that the Audio Overviews feature provides you before repeating what it says elsewhere.

Feature Image Credit: Google

By Khamosh Pathak

Khamosh Pathak is freelancer tech journalist with over 13 years of experience writing online. Read Full Bio

Sourced from LifeHacker